Regenerate client using the latest specification

src/Elastic.Clients.Elasticsearch.Serverless/_Generated/Api/MachineLearning/ClearTrainedModelDeploymentCacheRequest.g.cs

@@ -34,7 +34,7 @@ public sealed partial class ClearTrainedModelDeploymentCacheRequestParameters :
 }
 
 /// <summary>
-/// <para>Clears a trained model deployment cache on all nodes where the trained model is assigned.<br/>A trained model deployment may have an inference cache enabled.<br/>As requests are handled by each allocated node, their responses may be cached on that individual node.<br/>Calling this API clears the caches without restarting the deployment.</para>
+/// <para>Clear trained model deployment cache.<br/>Cache will be cleared on all nodes where the trained model is assigned.<br/>A trained model deployment may have an inference cache enabled.<br/>As requests are handled by each allocated node, their responses may be cached on that individual node.<br/>Calling this API clears the caches without restarting the deployment.</para>
 /// </summary>
 public sealed partial class ClearTrainedModelDeploymentCacheRequest : PlainRequest<ClearTrainedModelDeploymentCacheRequestParameters>
 {
@@ -52,7 +52,7 @@ public ClearTrainedModelDeploymentCacheRequest(Elastic.Clients.Elasticsearch.Ser
 }
 
 /// <summary>
-/// <para>Clears a trained model deployment cache on all nodes where the trained model is assigned.<br/>A trained model deployment may have an inference cache enabled.<br/>As requests are handled by each allocated node, their responses may be cached on that individual node.<br/>Calling this API clears the caches without restarting the deployment.</para>
+/// <para>Clear trained model deployment cache.<br/>Cache will be cleared on all nodes where the trained model is assigned.<br/>A trained model deployment may have an inference cache enabled.<br/>As requests are handled by each allocated node, their responses may be cached on that individual node.<br/>Calling this API clears the caches without restarting the deployment.</para>
 /// </summary>
 public sealed partial class ClearTrainedModelDeploymentCacheRequestDescriptor : RequestDescriptor<ClearTrainedModelDeploymentCacheRequestDescriptor, ClearTrainedModelDeploymentCacheRequestParameters>
 {

src/Elastic.Clients.Elasticsearch.Serverless/_Generated/Api/MachineLearning/DeleteCalendarEventRequest.g.cs

@@ -34,7 +34,7 @@ public sealed partial class DeleteCalendarEventRequestParameters : RequestParame
 }
 
 /// <summary>
-/// <para>Deletes scheduled events from a calendar.</para>
+/// <para>Delete events from a calendar.</para>
 /// </summary>
 public sealed partial class DeleteCalendarEventRequest : PlainRequest<DeleteCalendarEventRequestParameters>
 {
@@ -52,7 +52,7 @@ public DeleteCalendarEventRequest(Elastic.Clients.Elasticsearch.Serverless.Id ca
 }
 
 /// <summary>
-/// <para>Deletes scheduled events from a calendar.</para>
+/// <para>Delete events from a calendar.</para>
 /// </summary>
 public sealed partial class DeleteCalendarEventRequestDescriptor : RequestDescriptor<DeleteCalendarEventRequestDescriptor, DeleteCalendarEventRequestParameters>
 {

src/Elastic.Clients.Elasticsearch.Serverless/_Generated/Api/MachineLearning/DeleteCalendarJobRequest.g.cs

@@ -34,7 +34,7 @@ public sealed partial class DeleteCalendarJobRequestParameters : RequestParamete
 }
 
 /// <summary>
-/// <para>Deletes anomaly detection jobs from a calendar.</para>
+/// <para>Delete anomaly jobs from a calendar.</para>
 /// </summary>
 public sealed partial class DeleteCalendarJobRequest : PlainRequest<DeleteCalendarJobRequestParameters>
 {
@@ -52,7 +52,7 @@ public DeleteCalendarJobRequest(Elastic.Clients.Elasticsearch.Serverless.Id cale
 }
 
 /// <summary>
-/// <para>Deletes anomaly detection jobs from a calendar.</para>
+/// <para>Delete anomaly jobs from a calendar.</para>
 /// </summary>
 public sealed partial class DeleteCalendarJobRequestDescriptor : RequestDescriptor<DeleteCalendarJobRequestDescriptor, DeleteCalendarJobRequestParameters>
 {

src/Elastic.Clients.Elasticsearch.Serverless/_Generated/Api/MachineLearning/DeleteCalendarRequest.g.cs

@@ -34,7 +34,7 @@ public sealed partial class DeleteCalendarRequestParameters : RequestParameters
 }
 
 /// <summary>
-/// <para>Removes all scheduled events from a calendar, then deletes it.</para>
+/// <para>Delete a calendar.<br/>Removes all scheduled events from a calendar, then deletes it.</para>
 /// </summary>
 public sealed partial class DeleteCalendarRequest : PlainRequest<DeleteCalendarRequestParameters>
 {
@@ -52,7 +52,7 @@ public DeleteCalendarRequest(Elastic.Clients.Elasticsearch.Serverless.Id calenda
 }
 
 /// <summary>
-/// <para>Removes all scheduled events from a calendar, then deletes it.</para>
+/// <para>Delete a calendar.<br/>Removes all scheduled events from a calendar, then deletes it.</para>
 /// </summary>
 public sealed partial class DeleteCalendarRequestDescriptor : RequestDescriptor<DeleteCalendarRequestDescriptor, DeleteCalendarRequestParameters>
 {

src/Elastic.Clients.Elasticsearch.Serverless/_Generated/Api/MachineLearning/DeleteDataFrameAnalyticsRequest.g.cs

@@ -43,7 +43,7 @@ public sealed partial class DeleteDataFrameAnalyticsRequestParameters : RequestP
 }
 
 /// <summary>
-/// <para>Deletes a data frame analytics job.</para>
+/// <para>Delete a data frame analytics job.</para>
 /// </summary>
 public sealed partial class DeleteDataFrameAnalyticsRequest : PlainRequest<DeleteDataFrameAnalyticsRequestParameters>
 {
@@ -73,7 +73,7 @@ public DeleteDataFrameAnalyticsRequest(Elastic.Clients.Elasticsearch.Serverless.
 }
 
 /// <summary>
-/// <para>Deletes a data frame analytics job.</para>
+/// <para>Delete a data frame analytics job.</para>
 /// </summary>
 public sealed partial class DeleteDataFrameAnalyticsRequestDescriptor<TDocument> : RequestDescriptor<DeleteDataFrameAnalyticsRequestDescriptor<TDocument>, DeleteDataFrameAnalyticsRequestParameters>
 {
@@ -106,7 +106,7 @@ protected override void Serialize(Utf8JsonWriter writer, JsonSerializerOptions o
 }
 
 /// <summary>
-/// <para>Deletes a data frame analytics job.</para>
+/// <para>Delete a data frame analytics job.</para>
 /// </summary>
 public sealed partial class DeleteDataFrameAnalyticsRequestDescriptor : RequestDescriptor<DeleteDataFrameAnalyticsRequestDescriptor, DeleteDataFrameAnalyticsRequestParameters>
 {

src/Elastic.Clients.Elasticsearch.Serverless/_Generated/Api/MachineLearning/DeleteDatafeedRequest.g.cs

@@ -38,7 +38,7 @@ public sealed partial class DeleteDatafeedRequestParameters : RequestParameters
 }
 
 /// <summary>
-/// <para>Deletes an existing datafeed.</para>
+/// <para>Delete a datafeed.</para>
 /// </summary>
 public sealed partial class DeleteDatafeedRequest : PlainRequest<DeleteDatafeedRequestParameters>
 {
@@ -62,7 +62,7 @@ public DeleteDatafeedRequest(Elastic.Clients.Elasticsearch.Serverless.Id datafee
 }
 
 /// <summary>
-/// <para>Deletes an existing datafeed.</para>
+/// <para>Delete a datafeed.</para>
 /// </summary>
 public sealed partial class DeleteDatafeedRequestDescriptor : RequestDescriptor<DeleteDatafeedRequestDescriptor, DeleteDatafeedRequestParameters>
 {

src/Elastic.Clients.Elasticsearch.Serverless/_Generated/Api/MachineLearning/DeleteExpiredDataRequest.g.cs

@@ -34,7 +34,7 @@ public sealed partial class DeleteExpiredDataRequestParameters : RequestParamete
 }
 
 /// <summary>
-/// <para>Deletes expired and unused machine learning data.<br/>Deletes all job results, model snapshots and forecast data that have exceeded<br/>their retention days period. Machine learning state documents that are not<br/>associated with any job are also deleted.<br/>You can limit the request to a single or set of anomaly detection jobs by<br/>using a job identifier, a group name, a comma-separated list of jobs, or a<br/>wildcard expression. You can delete expired data for all anomaly detection<br/>jobs by using _all, by specifying * as the <job_id>, or by omitting the<br/><job_id>.</para>
+/// <para>Delete expired ML data.<br/>Deletes all job results, model snapshots and forecast data that have exceeded<br/>their retention days period. Machine learning state documents that are not<br/>associated with any job are also deleted.<br/>You can limit the request to a single or set of anomaly detection jobs by<br/>using a job identifier, a group name, a comma-separated list of jobs, or a<br/>wildcard expression. You can delete expired data for all anomaly detection<br/>jobs by using _all, by specifying * as the <job_id>, or by omitting the<br/><job_id>.</para>
 /// </summary>
 public sealed partial class DeleteExpiredDataRequest : PlainRequest<DeleteExpiredDataRequestParameters>
 {
@@ -68,7 +68,7 @@ public DeleteExpiredDataRequest(Elastic.Clients.Elasticsearch.Serverless.Id? job
 }
 
 /// <summary>
-/// <para>Deletes expired and unused machine learning data.<br/>Deletes all job results, model snapshots and forecast data that have exceeded<br/>their retention days period. Machine learning state documents that are not<br/>associated with any job are also deleted.<br/>You can limit the request to a single or set of anomaly detection jobs by<br/>using a job identifier, a group name, a comma-separated list of jobs, or a<br/>wildcard expression. You can delete expired data for all anomaly detection<br/>jobs by using _all, by specifying * as the <job_id>, or by omitting the<br/><job_id>.</para>
+/// <para>Delete expired ML data.<br/>Deletes all job results, model snapshots and forecast data that have exceeded<br/>their retention days period. Machine learning state documents that are not<br/>associated with any job are also deleted.<br/>You can limit the request to a single or set of anomaly detection jobs by<br/>using a job identifier, a group name, a comma-separated list of jobs, or a<br/>wildcard expression. You can delete expired data for all anomaly detection<br/>jobs by using _all, by specifying * as the <job_id>, or by omitting the<br/><job_id>.</para>
 /// </summary>
 public sealed partial class DeleteExpiredDataRequestDescriptor : RequestDescriptor<DeleteExpiredDataRequestDescriptor, DeleteExpiredDataRequestParameters>
 {

src/Elastic.Clients.Elasticsearch.Serverless/_Generated/Api/MachineLearning/DeleteFilterRequest.g.cs

@@ -34,7 +34,7 @@ public sealed partial class DeleteFilterRequestParameters : RequestParameters
 }
 
 /// <summary>
-/// <para>Deletes a filter.<br/>If an anomaly detection job references the filter, you cannot delete the<br/>filter. You must update or delete the job before you can delete the filter.</para>
+/// <para>Delete a filter.<br/>If an anomaly detection job references the filter, you cannot delete the<br/>filter. You must update or delete the job before you can delete the filter.</para>
 /// </summary>
 public sealed partial class DeleteFilterRequest : PlainRequest<DeleteFilterRequestParameters>
 {
@@ -52,7 +52,7 @@ public DeleteFilterRequest(Elastic.Clients.Elasticsearch.Serverless.Id filterId)
 }
 
 /// <summary>
-/// <para>Deletes a filter.<br/>If an anomaly detection job references the filter, you cannot delete the<br/>filter. You must update or delete the job before you can delete the filter.</para>
+/// <para>Delete a filter.<br/>If an anomaly detection job references the filter, you cannot delete the<br/>filter. You must update or delete the job before you can delete the filter.</para>
 /// </summary>
 public sealed partial class DeleteFilterRequestDescriptor : RequestDescriptor<DeleteFilterRequestDescriptor, DeleteFilterRequestParameters>
 {

src/Elastic.Clients.Elasticsearch.Serverless/_Generated/Api/MachineLearning/DeleteForecastRequest.g.cs

@@ -43,7 +43,7 @@ public sealed partial class DeleteForecastRequestParameters : RequestParameters
 }
 
 /// <summary>
-/// <para>Deletes forecasts from a machine learning job.<br/>By default, forecasts are retained for 14 days. You can specify a<br/>different retention period with the `expires_in` parameter in the forecast<br/>jobs API. The delete forecast API enables you to delete one or more<br/>forecasts before they expire.</para>
+/// <para>Delete forecasts from a job.<br/>By default, forecasts are retained for 14 days. You can specify a<br/>different retention period with the `expires_in` parameter in the forecast<br/>jobs API. The delete forecast API enables you to delete one or more<br/>forecasts before they expire.</para>
 /// </summary>
 public sealed partial class DeleteForecastRequest : PlainRequest<DeleteForecastRequestParameters>
 {
@@ -77,7 +77,7 @@ public DeleteForecastRequest(Elastic.Clients.Elasticsearch.Serverless.Id jobId,
 }
 
 /// <summary>
-/// <para>Deletes forecasts from a machine learning job.<br/>By default, forecasts are retained for 14 days. You can specify a<br/>different retention period with the `expires_in` parameter in the forecast<br/>jobs API. The delete forecast API enables you to delete one or more<br/>forecasts before they expire.</para>
+/// <para>Delete forecasts from a job.<br/>By default, forecasts are retained for 14 days. You can specify a<br/>different retention period with the `expires_in` parameter in the forecast<br/>jobs API. The delete forecast API enables you to delete one or more<br/>forecasts before they expire.</para>
 /// </summary>
 public sealed partial class DeleteForecastRequestDescriptor : RequestDescriptor<DeleteForecastRequestDescriptor, DeleteForecastRequestParameters>
 {

src/Elastic.Clients.Elasticsearch.Serverless/_Generated/Api/MachineLearning/DeleteModelSnapshotRequest.g.cs

@@ -34,7 +34,7 @@ public sealed partial class DeleteModelSnapshotRequestParameters : RequestParame
 }
 
 /// <summary>
-/// <para>Deletes an existing model snapshot.<br/>You cannot delete the active model snapshot. To delete that snapshot, first<br/>revert to a different one. To identify the active model snapshot, refer to<br/>the `model_snapshot_id` in the results from the get jobs API.</para>
+/// <para>Delete a model snapshot.<br/>You cannot delete the active model snapshot. To delete that snapshot, first<br/>revert to a different one. To identify the active model snapshot, refer to<br/>the `model_snapshot_id` in the results from the get jobs API.</para>
 /// </summary>
 public sealed partial class DeleteModelSnapshotRequest : PlainRequest<DeleteModelSnapshotRequestParameters>
 {
@@ -52,7 +52,7 @@ public DeleteModelSnapshotRequest(Elastic.Clients.Elasticsearch.Serverless.Id jo
 }
 
 /// <summary>
-/// <para>Deletes an existing model snapshot.<br/>You cannot delete the active model snapshot. To delete that snapshot, first<br/>revert to a different one. To identify the active model snapshot, refer to<br/>the `model_snapshot_id` in the results from the get jobs API.</para>
+/// <para>Delete a model snapshot.<br/>You cannot delete the active model snapshot. To delete that snapshot, first<br/>revert to a different one. To identify the active model snapshot, refer to<br/>the `model_snapshot_id` in the results from the get jobs API.</para>
 /// </summary>
 public sealed partial class DeleteModelSnapshotRequestDescriptor : RequestDescriptor<DeleteModelSnapshotRequestDescriptor, DeleteModelSnapshotRequestParameters>
 {

src/Elastic.Clients.Elasticsearch.Serverless/_Generated/Api/MachineLearning/DeleteTrainedModelAliasRequest.g.cs

@@ -34,7 +34,7 @@ public sealed partial class DeleteTrainedModelAliasRequestParameters : RequestPa
 }
 
 /// <summary>
-/// <para>Deletes a trained model alias.<br/>This API deletes an existing model alias that refers to a trained model. If<br/>the model alias is missing or refers to a model other than the one identified<br/>by the `model_id`, this API returns an error.</para>
+/// <para>Delete a trained model alias.<br/>This API deletes an existing model alias that refers to a trained model. If<br/>the model alias is missing or refers to a model other than the one identified<br/>by the `model_id`, this API returns an error.</para>
 /// </summary>
 public sealed partial class DeleteTrainedModelAliasRequest : PlainRequest<DeleteTrainedModelAliasRequestParameters>
 {
@@ -52,7 +52,7 @@ public DeleteTrainedModelAliasRequest(Elastic.Clients.Elasticsearch.Serverless.I
 }
 
 /// <summary>
-/// <para>Deletes a trained model alias.<br/>This API deletes an existing model alias that refers to a trained model. If<br/>the model alias is missing or refers to a model other than the one identified<br/>by the `model_id`, this API returns an error.</para>
+/// <para>Delete a trained model alias.<br/>This API deletes an existing model alias that refers to a trained model. If<br/>the model alias is missing or refers to a model other than the one identified<br/>by the `model_id`, this API returns an error.</para>
 /// </summary>
 public sealed partial class DeleteTrainedModelAliasRequestDescriptor : RequestDescriptor<DeleteTrainedModelAliasRequestDescriptor, DeleteTrainedModelAliasRequestParameters>
 {

src/Elastic.Clients.Elasticsearch.Serverless/_Generated/Api/MachineLearning/DeleteTrainedModelRequest.g.cs

@@ -38,7 +38,7 @@ public sealed partial class DeleteTrainedModelRequestParameters : RequestParamet
 }
 
 /// <summary>
-/// <para>Deletes an existing trained inference model that is currently not referenced<br/>by an ingest pipeline.</para>
+/// <para>Delete an unreferenced trained model.<br/>The request deletes a trained inference model that is not referenced by an ingest pipeline.</para>
 /// </summary>
 public sealed partial class DeleteTrainedModelRequest : PlainRequest<DeleteTrainedModelRequestParameters>
 {
@@ -62,7 +62,7 @@ public DeleteTrainedModelRequest(Elastic.Clients.Elasticsearch.Serverless.Id mod
 }
 
 /// <summary>
-/// <para>Deletes an existing trained inference model that is currently not referenced<br/>by an ingest pipeline.</para>
+/// <para>Delete an unreferenced trained model.<br/>The request deletes a trained inference model that is not referenced by an ingest pipeline.</para>
 /// </summary>
 public sealed partial class DeleteTrainedModelRequestDescriptor : RequestDescriptor<DeleteTrainedModelRequestDescriptor, DeleteTrainedModelRequestParameters>
 {

src/Elastic.Clients.Elasticsearch.Serverless/_Generated/Api/MachineLearning/EstimateModelMemoryRequest.g.cs

@@ -34,7 +34,7 @@ public sealed partial class EstimateModelMemoryRequestParameters : RequestParame
 }
 
 /// <summary>
-/// <para>Makes an estimation of the memory usage for an anomaly detection job model.<br/>It is based on analysis configuration details for the job and cardinality<br/>estimates for the fields it references.</para>
+/// <para>Estimate job model memory usage.<br/>Makes an estimation of the memory usage for an anomaly detection job model.<br/>It is based on analysis configuration details for the job and cardinality<br/>estimates for the fields it references.</para>
 /// </summary>
 public sealed partial class EstimateModelMemoryRequest : PlainRequest<EstimateModelMemoryRequestParameters>
 {
@@ -66,7 +66,7 @@ public sealed partial class EstimateModelMemoryRequest : PlainRequest<EstimateMo
 }
 
 /// <summary>
-/// <para>Makes an estimation of the memory usage for an anomaly detection job model.<br/>It is based on analysis configuration details for the job and cardinality<br/>estimates for the fields it references.</para>
+/// <para>Estimate job model memory usage.<br/>Makes an estimation of the memory usage for an anomaly detection job model.<br/>It is based on analysis configuration details for the job and cardinality<br/>estimates for the fields it references.</para>
 /// </summary>
 public sealed partial class EstimateModelMemoryRequestDescriptor<TDocument> : RequestDescriptor<EstimateModelMemoryRequestDescriptor<TDocument>, EstimateModelMemoryRequestParameters>
 {
@@ -171,7 +171,7 @@ protected override void Serialize(Utf8JsonWriter writer, JsonSerializerOptions o
 }
 
 /// <summary>
-/// <para>Makes an estimation of the memory usage for an anomaly detection job model.<br/>It is based on analysis configuration details for the job and cardinality<br/>estimates for the fields it references.</para>
+/// <para>Estimate job model memory usage.<br/>Makes an estimation of the memory usage for an anomaly detection job model.<br/>It is based on analysis configuration details for the job and cardinality<br/>estimates for the fields it references.</para>
 /// </summary>
 public sealed partial class EstimateModelMemoryRequestDescriptor : RequestDescriptor<EstimateModelMemoryRequestDescriptor, EstimateModelMemoryRequestParameters>
 {